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Frank Ryan is a consultant clinical psychologist in Camden and Islington NHS Foundation Trust in London, UK. An Honorary Senior Lecturer in the Faculty of Medicine at Imperial College and an Honorary Research Fellow at Birkbeck, University of London, he is a practicing cognitive therapist and an active trainer, lecturer and researcher.
About the Author ix
Preface xi
1 The Tenacity of Addiction 1
Introduction and Overview 1
Discovering Cognition 5
Implicit Cognition and Addiction 6
Neuropsychological Findings 9
Addictive Behaviour is Primary, Not Compensatory 11
Changing Habits is the Priority 14
Diagnostic Criteria 15
Towards Integration 15
Equivocal Findings from Research Trials 16
Time for CHANGE 16
Evolution, Not Revolution 17
Something Old, Something New 18
2 Existing Cognitive Behavioural Accounts of Addiction and Substance Misuse 21
The Evidential Basis of CBT for Addiction 23
Meta-analytic Findings 23
Behavioural Approaches 24
Diverse Treatments Mostly Deliver Equivalent Outcomes 25
What are the Mechanisms of Change? 26
The Missing Variable? 27
A Dual-Processing Framework 28
3 Core Motivational Processes in Addiction 33
Is Addiction About Avoiding Pain or Seeking Reward? 33
How Formulation Can Go Astray 34
Incentive Theories of Addiction 35
Learning Mechanisms in Addiction 36
Distorted Motivation and Aberrant Learning: the Emergence of Compulsion 41
'Wanting and Liking' in the Clinic 41
The Role of Secondary Reinforcers 43
Beyond Pleasure and Pain: a Psychoanalytic Perspective 43
Conclusion 44
4 A Cognitive Approach to Understanding the Compulsive Nature of Addiction 45
Theories of Attention 46
Top-Down Influences Can Be Automatic 47
Automatic Processes Can Be Practically Limitless 48
Motivationally Relevant Cues are Prioritized 48
Biased Competition 50
Attention and Volition 51
Appetitive Cues Usually Win 52
Purposeful Behaviour Can Occur in the Absence of Consciousness 53
Attentional Bias and Craving 54
Cognitive Cycle of Preoccupation 56
5 Vulnerability Factors In Addiction 63
Individual Differences in Addiction Liability 63
Personality Traits 63
The 'Big Five' Personality Factors 65
Personality Disorders 66
Affective Vulnerability Factors 67
Brain-Derived Neurotrophic Factors 69
Neurocognitive Vulnerability 70
Findings from the Addiction Clinic 71
From Research to Practice 72
6 Motivation and Engagement 75
Impaired Insight and the Therapeutic Relationship 75
The Sad Case of Julia 80
Conflicted Motivation is the Key 81
Goal Setting and Maintenance 82
The Importance of Between-Session Change 83
Neurocognitive Perspectives on Motivation 83
Motivational Interviewing in Practice 84
Formulating and Planning the Intervention 88
Attributional Biases: the Blame Game 90
Case Formulation 91
Summary 97
7 Managing Impulses 99
Introduction and Overview 99
Structuring the Session 99
Building Resilience 100
Impulse Control 102
Craving and Urge Report 103
Cognitive Processing and Craving 104
Cognitive Bias Modification 105
Attentional Bias in the Context of Addiction 106
The Alcohol Attention-Control Training Programme 108
Modifying Implicit Approach Tendencies 110
Reversing the Bias: Conclusion 112
Brain Training and Neurocognitive Rehabilitation Approaches 112
Clinical Implications of Delayed Reward Discounting 117
Tried and Tested Techniques 119
The Road to Recovery is Paved with Good Implementation Intentions! 125
Neurophysiological Techniques 129
Neuropsychopharmacological Approaches 130
8 Managing Mood 135
The Reciprocal Relationship Between Mood and Addiction 135
Pre-existing Vulnerability to Emotional Distress 137
Negative Affect Due To Drug Effects 141
Stepped Care for Addiction 145
An Integrated Approach to Addressing Negative Emotion 147
9 Maintaining Change 155
Relapse Prevention Strategies from a Neurocognitive Perspective 155
The Importance of Goal Maintenance in the Long Term 158
A Neurocognitive Perspective on Relapse 159
Twelve-Step Facilitation Therapy 161
Implicit Denial 162
10 Future Directions 171
Neurocognitive Therapy 171
Increasing Cognitive Control is the Goal 172
Do We Know Anything New? 173
Appendix Self-Help Guide Six Tips - a Pocket Guide to Preventing Relapse 179
Introduction: Why Six Tips? 179
1. Don't Always Trust Your Memory! 180
2. Beware of the 'Booze Bias'! 180
3. Separate Thoughts from Actions 181
4. Learn How to Distract Yourself 181
5. Willpower is Sometimes Not Enough 182
6. Beware of the Dog that Doesn't Bark. . . 182
References 185
Index 201
Cognitive behavioural approaches to addictive behaviours are grounded in cognitive and social learning approaches. Predictably, definitive features include an emphasis on functional analysis of addictive behaviour. This provides a framework for more sharply focused therapeutic intervention use. The so-called ‘ABC’ convention specifies the antecedents, behaviour and consequences of a given sequence of addictive behaviour. For example, a client recently described how he resumed drinking after having remained abstinent from alcohol for 10 weeks. The antecedents were an argument with his partner that led to him become angry and the thought ‘She doesn't know how hard it's been’. The behaviour was buying 10 cans of lager and drinking them. The consequences were intoxication, apparently unaccompanied by any feeling of pleasure, feeling ill and experiencing high levels of guilt and remorse. A further definitive feature is the emphasis on teaching coping skills in an effort to forestall the default response of drug seeking and drug taking. The functional analysis thus enables the individual to recognize the situations or emotional states in which he or she is most vulnerable to substance use. The influential ‘Relapse Prevention Skills Training’ model (Marlatt and Gordon, 1985) and allied accounts (e.g. Annis and Davis, 1988) thus aim to tackle addiction by equipping the addicted person with a range of cognitive and behavioural coping skills to deploy when in these so-called ‘high-risk situations’. The experienced clinician tends to focus on situations previously associated with lapsing, viewed as a short-term reversal of restraint, or relapsing, characterized as a return to pre-treatment levels of the problem behaviour. Marlatt and Gordon categorized the determinants of high-risk situations as intrapersonal, such as positive or negative emotions or urges, and interpersonal, such as conflict or social pressure. A re-conceptualization of the Marlatt and Gordon (1985) model (Witkiewitz and Marlatt, 2004) characterized relapse as a dynamic or multi-factorial process that is inherently difficult to predict, and hence prevent.
Beck et al. (1993) proposed a cognitive developmental model of addiction derived from extant accounts of emotional disorders such as depression and anxiety. Accordingly, susceptible individuals' core beliefs about substances and their effects are formed in response to critical life experiences. Thus, alcohol could be used initially to combat aversive emotional states linked to negative core beliefs about self, world or others (see Figure 2.1). In the event of a critical incident, essentially a type of high-risk situation, these beliefs are reactivated and generate automatic thoughts that trigger urges that enable acquisitive behaviour. For example, a core belief such as ‘I am not a likeable person’ could become associated with the belief ‘I am more likeable when I drink alcohol’. In a given critical incident, automatic thoughts such as ‘I need a drink’ or ‘I can't socialize without a drink’ can influence behaviour.
Figure 2.1 A cognitive developmental model of addiction.
CBT has brought key mechanisms of addiction into much sharper focus. This has allowed for the development of more precise therapeutic interventions that target aspects of the dynamic interaction between person, situation and appetitive impulse. The present text is a consolidation or evolution of CBT theory and practice. One of the strengths of CBT approach is its capacity to accommodate innovations. The formulation-based approach is crucial in this regard, as it enables the deployment of novel techniques to target psychological processes. The development of mindfulness-based cognitive therapy (MBCT), for example, illustrates this ethos. Mindfulness-based meditation comes from a very different tradition to that of CBT but has demonstrably brought added value to certain clinical populations such as those with chronic depression and high propensity to relapse (Segal et al., 2002). As yet, mindfulness protocols have rarely been subjected to the rigours of controlled clinical trials with addicted populations. An exception to this is a single-site randomized controlled trial of mindfulness training for people trying to give up smoking. Brewer et al. (2011) found a greater point prevalence abstinence rate at the end of 17-week follow-up (31% versus 6%, p = 0.012) among a group of smokers were taught mindfulness compared with those who received a standard package of care.
First, consider the findings of clinical trials reflected in meta-analytic studies. Dutra et al. (2008), for example, found cognitive behavioural therapy alone and relapse prevention produced low to moderate effect sizes (Cohen's d = 0.28 and 0.32) respectively. This contrasts unfavourably with median effect sizes of d = 0.8 and 0.9 observed with panic disorder and generalized disorder respectively, although an effect size of 0.3 was noted with depression (Westen and Morrison, 2001), based on data from 34 studies. This rather mixed message receives support from an earlier review. Irwin et al. (1999) found in their meta-analysis of 26 comparative treatment studies involving 9504 participants that the overall treatment effect of group-based relapse-prevention interventions for substance misuse was indeed small (r = 0.14), but statistically reliable. This modest figure reflects the relatively greater response on the part of individuals recruited to studies investigating alcohol dependence but disguises the negligible effect size noted with, for example, cocaine or nicotine addiction. However, the effect of relapse prevention on improving overall psychosocial adjustment was significantly larger (r = 0.48).
Specific behavioural techniques such as contingency management, based on operant conditioning, appear to deliver greater effect sizes than observed with broader CBT approaches. Variants of this approach include Behavioural Couples Therapy (O'Farrell and Fals-Stewart, 2006) and Social Behaviour Network Therapy (Copello et al., 2006). They share an emphasis on reinforcing abstinence or adherence to the treatment goal by using either social or monetary reinforcements or combination of both. Clearly, these exemplify effective behaviour modification. From a cognitive control perspective, behavioural approaches that alter contingencies also directly influence the contents of working memory. The systematic and repetitious nature of reinforcement approaches is in effect a form of rehearsal or goal maintenance. From the model depicted in Figure 2.2, it is clear that whatever occupies the ‘high ground’ of working memory or executive control can exert influence over the surrounding cognitive terrain. Hypothetically, the maintenance and rehearsal of a clear behavioural goal should influence top-down processes such as the allocation of attentional resources. Moreover, by occupying a system that has limited capacity, these recovery orientated goals can reduce the likelihood of the working memory system defaulting to appetitive goals. These variants are limited to some extent, because they require the active participation of a non-substance-misusing partner or the cooperation of others in the addicted person's social network. A recent review of treatments using contingency management alone (Prendergast et al., 2006) indicated moderate–high effect sizes (d = 0.42). Contingency management appeared more effective in treating opiate use (d = 0.65) and cocaine use (d = 0.66) compared with tobacco (d = 0.31) or polydrug misuse (d = 0.42).
Figure 2.2 Two routes to addictive behaviour: a fast route triggered by preferential detection of potential drug cues; a slow route reliant on reflective or conscious deliberation.
Calibrating and comparing effect sizes calculated using different statistical analyses has its limitations. The data quoted here nonetheless illustrate that treatment effect sizes tend to be smaller and more varied with addictive disorders than with emotional disorders such as anxiety and depression. These meta-analytic findings appear to be telling us two things about responding therapeutically to addiction and coexisting mental health problems. On a positive note, we can advise our clients with concomitant panic disorder or generalized anxiety disorder that treatment can be very effective, and people with depression will also benefit to a significant degree. This will contribute to overcoming addictive impulses insofar as negative affect can be a powerful motivator. Second, and perhaps less positively, we would have to inform our clients that their addictive behaviour might prove more resistant to treatment, and will therefore require more intervention, probably over a longer timeframe. An important exception to this is that contingency management can change addictive behaviour, at least in the short term. Overall, however, this pattern of results suggests key mechanisms of change are being overlooked in conventional cognitive therapy applications.
Findings from clinical outcome studies indicate...
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